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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1644 条记录，以下是1171-1180 订阅

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Approximate Dynamic Programming for Traffic Signal control at Isolated Intersection 3

Approximate Dynamic Programming for Traffic Signal Control a...

引用

3rd Computer Science On-line conference (CSOC)

作者： Yin, Biao Dridi, Mahjoub El Moudni, Abdellah Univ Technol Belfort Montbeliard Belfort France

ISBN: (纸本)9783319067407

As a new optimization technique for discrete dynamic systems, approximate dynamic programming (ADP) for the optimization control of a simple traffic signalized intersection is proposed. ADP combines the concepts of reinforcement learning and dynamic programming, and it is an effective and practical approach for real-time traffic signal control. This paper aims at minimizing the average number of vehicles waiting in the queue or the vehicles average waiting time at isolated intersection by using the action-dependent ADP (ADHDP). ADHDP signal controller is designed with neural networks to learn and achieve a near optimal traffic control policy by measuring the traffic states. As shown by the comparison with other traffic control methods, the simulation results indicate that the approach is efficient to improve traffic control at a simple intersection.

关键词： Approximate dynamic control (ADP) Dynamic programming Neural networks Traffic signal control policy

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Application of firefly algorithm for radial distribution network reconfiguration using different loads

Application of firefly algorithm for radial distribution net...

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3rd International conference on Advances in control and optimization of Dynamical Systems, ACODS 2014

作者： LakshmiReddy, Y. Sathiyanarayanan, T. Sydulu, M. Department of Electrical Engineering National Institute of Technology Warangal Andhra Pradesh India

ISBN: (纸本)9783902823601

This paper proposes a Bio-inspired heuristic algorithm to solve the power distribution network reconfiguration problem for loss minimization. The proposed method is based on the social behaviour of firefly insects and their shining phenomenon. During the optimization process, several equality and inequality constraints are to be taken in account for network reconfiguration. The objective function is to improve the voltage of the each bus and reduce the power losses of reconfigured network. Implementing this method is a more robust and easier and it is simulated for IEEE33 and IEEE69 standard distribution test systems with different load levels. © 2014 IFAC.

关键词： Heuristic algorithms

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The Optimal Design of Thermal Insulation on the Pipeline by using Particle Swarm optimization

The Optimal Design of Thermal Insulation on the Pipeline by ...

引用

3rd International conference on Materials and Products Manufacturing Technology (ICMPMT 2013)

作者： Lv, Hongyan Si, Xiaodong Wu, Wenzhen Northeast Petr Univ Sch Comp & Informat Technol Daqing Peoples R China Daqing Drilling Grp Int Div Daqing Peoples R China

ISBN: (纸本)9783037859162

Particle swarm optimization is simple, easily achieved and do not need to adjust many parameters. And it doesn't need the gradient information. Now, this algorithm has been widely used in function optimization, nerve network training, fuzzy systems control and so on. In this paper, we use this algorithm to solve the optimal design of thermal insulation on the pipeline. Numerical results show that this algrithm can get more precise results than methods before used.

关键词： Particle swarm optimization the optimal design of thermal insulation on the pipeline objective functions

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An optimization Model for Dynamic Speed control in Urban Freeway networks 3

An Optimization Model for Dynamic Speed Control in Urban Fre...

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3rd Asian Pacific conference on Mechanical Components and control Engineering (ICMCCE)

作者： Zhang, Zhaohong Sun, Dazhi Lv, Jinpeng Sai, Joseph Faruqi, M. Hunan Prov Expressway Author Changsha Hunan Peoples R China Texas M Univ Kingsville Kingsville TX USA

ISBN: (纸本)9783038353126

This paper introduced an optimization model to address dynamic speed control strategies for achieving network-wide speed harmonization. Genetic Algorithm (GA) was applied to search the optimal solution of the proposed model. During the search process, a computational fluid dynamics (CFD) based analytical model and microscopic traffic simulation VISSIM were applied to evaluate the performance of possible solutions. The proposed model can be used to determine the deployment of dynamic speed limits, the displayed speed limit, and the timing to change these speed limits. The proposed model was tested using VISSIM in an urban freeway network of about 12 miles long. Different simulation scenarios with varying AADT from 60,000 to 12,000 were tested. It was found that when properly implemented, dynamic speed control can improve traffic flow conditions, reduce congestion and emission, and enhance network throughput. For example, in the selected urban freeway network with the AADT of 80,000, the proposed dynamic speed control strategy can save 5% average travel time, reduce 9% of the vehicles with high collision risk and about 11% emission.

关键词： optimization Dynamic Speed Limit Speed Harmonization Genetic Algorithm

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optimization Model of Airplane Data Communication network for Air Traffic Management

Optimization Model of Airplane Data Communication Network fo...

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3rd International conference on Civil Engineering and Transportation (ICCET 2013)

作者： Zhu, Xiaohui Tang, Zhikun Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China State Air Traff Flow Management Ctr Beijing 100094 Peoples R China

ISBN: (纸本)9783038350064

Aiming to better network facility deployment and reduce cost, this paper proposed an optimization model for air traffic management airplane data communication network based on multi-objective nonlinear programming to optimize the communication network trunk node and analyze user subnetwork access. Using multi-objective decomposition method, a computer-aided resolution model is presented and then simulations proved its effectiveness. This model has theoretical instruction on air traffic management plane data communication network design, and can offer reference for relate studies.

关键词： air traffic control data communication network nonlinear programming

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Dealing with variations for a supplier selection problem in a flexible supply chain : A dynamic optimization approach

Dealing with variations for a supplier selection problem in ...

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3rd International conference on Operations Research and Enterprise Systems, ICORES 2014

作者： Chibani, Akram Delorme, Xavier Dolgui, Alexandre Pierreval, Henri LIMOS Laboratoire Informatique Modelisation et Optimisation des Systèmes Complexe Scientifique des Cézeaux 63173 Aubière Cedex France Institut Henri Fayol École Nationale Supérieure des Mines de Saint-Étienne UMR CNRS 6158 42023 Saint-Étienne cedex 2 France Campus des Ćezeaux IFMA Clermont University Aubière France

ISBN: (纸本)9789897580178

Supply chains are complicated dynamical systems due to many factors, e.g. the competition between companies, the globalization, demand fluctuations, sales forecasting. Hence, they must react to changes in order to adapt quickly its network. In this paper we focus on a two echelon supply chain problem dealing with supplier selection issue during periods in a highly flexible context. How to select suppliers is the main question we try to answer in this research. A suggested approach based on dynamic optimization is highlighted to solve this problem. Copyright © 2014 SCITEPRESS.

关键词： Genetic algorithms

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Algorithm for Wireless Sensor network Data Fusion Based on Radial Basis Function Neural networks

Algorithm for Wireless Sensor Network Data Fusion Based on R...

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3rd International conference on Mechanical, control, and Electronic Information (ICMCEI)

作者： Yang Zi Chen Ming-rui Wu Wei Hainan Univ Haikou 570228 Peoples R China

ISBN: (纸本)9783038351559

This paper presents a data fusion method on wireless sensor network based on radial basis function neural networks. In consideration of the hierarchical relationship topology wireless sensor networks, data acquisition, handling and delivery, we proposed a typical classification approach based on radial basis function neural networks. optimization strategy adopted to process node data for each node indicated different reaction related with energy consumption. Simulation results verify that the method converges fast and effectively.

关键词： wireless sensor networks data fusion neural networks optimization

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Coal Mine Disaster Warning Internet of Things Intrusion Detection System Based on Back Propagation Neural network Improved by Genetic Algorithms

引用

3rd International conference on Machinery Electronics and control Engineering (ICMECE 2013)

作者： Hu, Ying Sun, Li-min Yu, Sheng-chen Huang, Jiang-lan Wang, Xiao-ju Guo, Hui Key Lab Mine Disaster Prevent & Control Technol H Beijing East Yanjiao 0652011 Peoples R China

ISBN: (纸本)9783037859032

In order to improve the detection rate of intruders in coal mine disaster warning internet of things, and to solve the problem that the back propagate neural network (BPNN) is invalid when these initial weight and threshold values of BPNN are chosen impertinently, Genetic Algorithms (GA)'s characteristic of getting whole optimization value was combined with BPNN's characteristic of getting local precision value with gradient method. After getting an approximation of whole optimization value of weight and threshold values of BPNN by GA, the approximation was used as first parameter of BPNN, to train (educate) the BPNN again (in other words, learning). The educated BPNN was used to recognize intruders in internet of things. Experiment results shown that this method was useful and applicable, and the detection right rate of intruders was above 95% for the KDD CUP 1999 data set.

关键词： Intrusion detection system Global optimization value Genetic algorithms Back propagation neural network

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Utilization of Improved RBF network in Modeling of Wave Energy Absorption System

Utilization of Improved RBF Network in Modeling of Wave Ener...

引用

3rd International conference on Mechanical Engineering, Materials and Energy (ICMEME 2013)

作者： Zhang, Ying Li, Mengxin Wang, Ranran Shenyang Jianzhu Univ Informat & Control Engn Fac Shenyang 110168 Peoples R China

ISBN: (纸本)9783037859834

Energy self-supply is one of the most important problems, and there are many undesirable energy difficulties when carrier keeps working underwater, and. A method based on inertial pendulum has been presented, but the model of wave energy absorption efficiency which is a significant parameter is strongly nonlinear and difficult to be gained. A method based on radial basis function (RBF) neural network is adopted to model in time domain. To prevent the problem that structure and parameters of neural network are hard to be tuned, improved RBF network based on particle swarm optimization (PSO) is proposed. The results obtained by presented method and by simulation software ADAMS are compared, which validate the method used to be correct and make basis on future research.

关键词： Particle Swarm optimization Wave Energy Absorption Efficiency Underwater Carrier ADAMS RBF Neural network

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A Farmland Wireless Sensor network optimization Topology control Algorithm

引用

3rd International conference on Machinery Electronics and control Engineering (ICMECE 2013)

作者： Li, Feifei Wu, Huarui Yuan, Ling Miao, Yisheng Zhu, Li Beijing Acad Agr & Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China Natl Engn Res Ctr Ctr Informat Technol Agr Beijing 100097 Peoples R China Minist Agr Key Lab Informat Technol Agr Beijing 100097 Peoples R China Peking Univ Ctr Comp Beijing 100871 Peoples R China

ISBN: (纸本)9783037859032

Different node layout density exist in farmland wireless sensor network monitoring, but the existing wireless sensor network topology control algorithm does not take uneven node distribution into consideration. And the node residual energy issue is not considered in the commonly used LMST topology control algorithm either. This paper presents a wireless sensor network hybrid topology control algorithm which considered both the uneven distribution of network nodes and the residual energy issue. Firstly, this algorithm clustering in the high node density areas based on node degree to reduce overall energy consumption. Secondly this algorithm use nodes residual energy based LMST topology control algorithm to achieve energy balance among network nodes. This improved algorithm ultimately achieved the purpose of prolonging the network lifetime.

关键词： wireless sensor network node degree based clustering Energy-sensitive LMST Hybrid topology

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